Managing full-lifecycle implementation of a payments industry CRM, ensuring seamless deployment.
Solving residual calculation tickets accurately using Excel and the Merchant Central platform.
Providing clear guidance on using and configuring Merchant Central Residuals module.
NMI enables partners with choice in payments, challenging the one-size-fits-all approach. They power success for innovative tech created by SMBs, entrepreneurs, and fintech startups, fostering diversity and inclusion with initiatives like a Diversity, Equity & Inclusion action group.
Participate in discovery sessions to understand business goals and translate them into tracking plans.
Implement and validate events using Google Tag Manager, including tag configuration, triggers, variables, and testing.
Build reports and dashboards using Looker Studio or other visualization tools to communicate insights.
DEPT is a technology and marketing services company. They create integrated end-to-end digital experiences for brands such as Google, KFC, and Philips and have 2,500+ digital specialists across 30+ locations on 5 continents delivering pioneering work on a global scale with a boutique culture.
Design, build, and optimize robust and scalable data pipelines into our production BigQuery data warehouse.
Mentor other engineers, lead complex projects, and set high standards for data quality and engineering excellence.
Empower our BI tools, reporting, Marketing, and Data Science initiatives by ensuring a highly reliable and performant data ecosystem.
Peerspace is the leading online marketplace for venue rentals for meetings, productions, and events, opening doors to inspiring spaces worldwide. They have facilitated over $500M in transactions and are backed by investors like GV (Google Ventures) and Foundation Capital.
Migrate data and analytics workloads from BigQuery to Snowflake
Develop and optimize ETL/ELT pipelines using Python and SQL
Build analytics-ready datasets for reporting and dashboards
Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms to help clients drive action and impact through data and insights.
Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.
Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.
Projetar, desenvolver e manter pipelines de dados (batch e streaming) para ingestão, transformação e disponibilização de dados para analytics e consumo por aplicações.
Construir e evoluir modelagem analítica (camadas bronze/silver/gold, data marts, star schema, wide tables), garantindo consistência, documentação e reuso.
Implementar boas práticas de qualidade de dados (testes, validações, contratos, SLAs/SLOs, monitoramento de freshness/completeness/accuracy) e atuar na resolução de incidentes com RCA.
CI&T specializes in technological transformation, combining human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they have partnered with more than 1,000 clients during their 30 years of history.
Present and translate complex information in relevant business terms
Regularly create, edit, and improve complex SQL queries for data extraction and automation
Develop robust and insightful reports on regular cadences to communicate the performance of regional sales teams, marketing events, business development, and customer lifecycles
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. They combine data, technology, and human expertise to ensure you’re operating in a well-architected and scalable state.
Advance conviction in decision-making throughout Juul Labs.
Build models to analyze various datasets across the organization, leveraging commercial sales and execution data.
Develop new systems and tools to enable stakeholders to consume and understand data more intuitively.
Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products.
Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.
Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.